| repo | InternScience/InternAgent |
|---|---|
| url | https://github.com/InternScience/InternAgent |
| content_timestamp | 2026-05-27 |
| time_slice | 2026-05 |
| timestamp_source | web_observed_public_github_page_2026_05_27 |
| collected_at | 2026-05-27 09:59:08 +0800 |
| source | github |
GitHub - InternScience/InternAgent: InternAgent-1.5 is a unified multi-agent framework for long-horizon autonomous scientific discovery, spanning discovery runs, QA deep research, and reproducible task execution.
Source: https://github.com/InternScience/InternAgent
This raw-style public GitHub page capture was recorded by the hourly public metadata update. Shell GitHub API access failed DNS resolution and local GitHub CLI auth was invalid, so freshness is web-observed rather than API-verified.
- Repository: InternScience/InternAgent
- URL: https://github.com/InternScience/InternAgent
- Stars: 1300
- Forks: 116
- Commits: 45
- License: Apache-2.0
- Primary language / stack signal: Python/Shell/Deep-Research/Experiment Orchestration
- Collection timestamp: 2026-05-27T09:59:08+08:00
- The repository README describes end-to-end autonomous scientific discovery workflows.
- News entries mention 2026 releases with memory module and deep research capabilities.
- The codebase exposes discovery and QA launch paths plus reproducible task scripts.
- The project links benchmark-facing scientific reasoning claims with public setup instructions.
No benchmark was run, no source clone was modified, and no private or authenticated metadata was used. This file preserves public page evidence for downstream classification, model-card analysis, public reports, and the site index.